Address
Form of workPosting Title
Postdoctoral Researcher - Multimodal Surrogates for Bayesian Optimization
Location
CO - Golden
Position Type
Postdoc (Fixed Term)
Hours Per Week
40
Working at NREL
The National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for research and development of renewable energy and energy efficiency technologies.
From day one at NREL, you'll connect with coworkers driven by the same mission to save the planet. By joining an organization that values a supportive, inclusive, and flexible work environment, you'll have the opportunity to engage through our ten employee resource groups, numerous employee-driven clubs, and learning and professional development classes.
NREL supports inclusive, diverse, and unbiased hiring practices that promote creativity and innovation. By collaborating with organizations that focus on diverse talent pools, reaching out to underrepresented demographics, and providing an inclusive application and interview process, our Talent Acquisition team aims to hear all voices equally. We strive to attract a highly diverse workforce and create a culture where every employee feels welcomed and respected and they can be their authentic selves.
Our planet needs us! Learn about NREL's critical objectives, and see how NREL is focused on saving the planet.
Note: Research suggests that potential job seekers may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who is interested in this opportunity to apply. We seek dedicated people who believe they have the skills and ambition to succeed at NREL to apply for this role.
Job Description
The AI, Learning and Intelligent Systems (ALIS) Group in the NREL Computational Science Center has an opening for a full-time Postdoctoral Researcher in the field of Bayesian optimization and surrogate modeling. We are looking for a dynamic researcher with a strong technical background in statistics, optimization, sampling, and algorithm development for large-dimensional black-box problems to help us transform our renewable energy future through novel active learning approaches.
The successful candidate will have exposure to optimization problems arising across the NREL mission area. The successful candidate will develop novel algorithms that are targeted at the various problem characteristics encountered in our applications (e.g., large-scale, multi-modal, multi-fidelity, multi-physics data). We seek candidates capable of devising creative approaches that tie together advanced statistical techniques, dimension reduction, surrogate modeling and sampling methods to achieve improved active learning strategies for optimization and uncertainty quantification. Candidates must have strong problem-solving skills, a strong interest in cross-disciplinary collaboration, and a passion for the mission and goals of both NREL and the Office of Energy Efficiency & Renewable Energy.
Please see more about our Postdoc experience in the Materials, Chemical and Computational Science Directorate and NREL
https://www.youtube.com/watch?v=dmE7-M723oo
Responsibilities:
• Closely collaborate with members from the Data Analysis and Visualization Group and ALIS Group on statistics and optimization developments.
• Develop multimodal surrogate models, dimension reduction, and active learning algorithms to solve target applications in optimization and uncertainty quantification.
• Creatively identify new opportunities for the developed approaches across the NREL mission space.
• Author publications in top-tier venues and contribute to proposals to sustain research directions.
Basic Qualifications
Must be a recent PhD graduate within the last three years.
* Must meet educational requirements prior to employment start date.
Additional Required Qualifications
• Experience with real-world multimodal data and optimization applications.
• Experience in using parallel computing and high-performance computing.
Preferred Qualifications
• Demonstrated experience developing approaches for statistical modeling, dimension reduction, and numerical optimization algorithms.
• Demonstrated experience working in interdisciplinary teams.
• Demonstrated experience in collaboratively working on large code bases.
Annual Salary Range (based on full-time 40 hours per week)
Job Profile: Postdoctoral Researcher / Annual Salary Range: $71,300 - $117,600
NREL takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.
Benefits Summary
Benefits include medical, dental, and vision insurance; short-term disability insurance*; pension benefits*; 403(b) Employee Savings Plan with employer match*; life and accidental death and dismemberment (AD&D) insurance; personal time off (PTO) and sick leave; and paid holidays. NREL employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement.
* Based on eligibility rules
Drug Free Workplace
NREL is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.
If you are offered employment at NREL, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.
Submission Guidelines
Please note that in order to be considered an applicant for any position at NREL you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
EEO Policy
NREL is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
EEO is the Law | Pay Transparency Nondiscrimination | Reasonable Accommodations
E-Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.
E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.
Postdoctoral Researcher - Multimodal Surrogates for Bayesian Optimization
Location
CO - Golden
Position Type
Postdoc (Fixed Term)
Hours Per Week
40
Working at NREL
The National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for research and development of renewable energy and energy efficiency technologies.
From day one at NREL, you'll connect with coworkers driven by the same mission to save the planet. By joining an organization that values a supportive, inclusive, and flexible work environment, you'll have the opportunity to engage through our ten employee resource groups, numerous employee-driven clubs, and learning and professional development classes.
NREL supports inclusive, diverse, and unbiased hiring practices that promote creativity and innovation. By collaborating with organizations that focus on diverse talent pools, reaching out to underrepresented demographics, and providing an inclusive application and interview process, our Talent Acquisition team aims to hear all voices equally. We strive to attract a highly diverse workforce and create a culture where every employee feels welcomed and respected and they can be their authentic selves.
Our planet needs us! Learn about NREL's critical objectives, and see how NREL is focused on saving the planet.
Note: Research suggests that potential job seekers may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage anyone who is interested in this opportunity to apply. We seek dedicated people who believe they have the skills and ambition to succeed at NREL to apply for this role.
Job Description
The AI, Learning and Intelligent Systems (ALIS) Group in the NREL Computational Science Center has an opening for a full-time Postdoctoral Researcher in the field of Bayesian optimization and surrogate modeling. We are looking for a dynamic researcher with a strong technical background in statistics, optimization, sampling, and algorithm development for large-dimensional black-box problems to help us transform our renewable energy future through novel active learning approaches.
The successful candidate will have exposure to optimization problems arising across the NREL mission area. The successful candidate will develop novel algorithms that are targeted at the various problem characteristics encountered in our applications (e.g., large-scale, multi-modal, multi-fidelity, multi-physics data). We seek candidates capable of devising creative approaches that tie together advanced statistical techniques, dimension reduction, surrogate modeling and sampling methods to achieve improved active learning strategies for optimization and uncertainty quantification. Candidates must have strong problem-solving skills, a strong interest in cross-disciplinary collaboration, and a passion for the mission and goals of both NREL and the Office of Energy Efficiency & Renewable Energy.
Please see more about our Postdoc experience in the Materials, Chemical and Computational Science Directorate and NREL
https://www.youtube.com/watch?v=dmE7-M723oo
Responsibilities:
• Closely collaborate with members from the Data Analysis and Visualization Group and ALIS Group on statistics and optimization developments.
• Develop multimodal surrogate models, dimension reduction, and active learning algorithms to solve target applications in optimization and uncertainty quantification.
• Creatively identify new opportunities for the developed approaches across the NREL mission space.
• Author publications in top-tier venues and contribute to proposals to sustain research directions.
Basic Qualifications
Must be a recent PhD graduate within the last three years.
* Must meet educational requirements prior to employment start date.
Additional Required Qualifications
• Experience with real-world multimodal data and optimization applications.
• Experience in using parallel computing and high-performance computing.
Preferred Qualifications
• Demonstrated experience developing approaches for statistical modeling, dimension reduction, and numerical optimization algorithms.
• Demonstrated experience working in interdisciplinary teams.
• Demonstrated experience in collaboratively working on large code bases.
Annual Salary Range (based on full-time 40 hours per week)
Job Profile: Postdoctoral Researcher / Annual Salary Range: $71,300 - $117,600
NREL takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.
Benefits Summary
Benefits include medical, dental, and vision insurance; short-term disability insurance*; pension benefits*; 403(b) Employee Savings Plan with employer match*; life and accidental death and dismemberment (AD&D) insurance; personal time off (PTO) and sick leave; and paid holidays. NREL employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement.
* Based on eligibility rules
Drug Free Workplace
NREL is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.
If you are offered employment at NREL, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.
Submission Guidelines
Please note that in order to be considered an applicant for any position at NREL you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.
EEO Policy
NREL is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
EEO is the Law | Pay Transparency Nondiscrimination | Reasonable Accommodations
E-Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.
E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.
